A rotation invariant approach on static-gesture recognition using boundary histograms and neural networks

Wysoski, Simei Gomes; Lamar, M.V.; Kuroyanagi, Sachiko; Iwata, Atsushi

doi:10.1109/iconip.2002.1199054

Cited by 45 publications

(17 citation statements)

References 3 publications

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“…In the solution proposed in [10], the author used color gloves in order to reduce the computational effort of the tracking stage, where each finger has a different color. The use of a color glove allows faster detection and modeling of the finger postures than free-hand systems, which need a complex skin color detection stage [11]. However, while the gloves are a relatively simple piece of equipment,…”

Section: Related Workmentioning

confidence: 99%

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

Cambuim

Macieira

Neto

et al. 2016

Journal of Systems Architecture

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Section: Related Workmentioning

confidence: 99%

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

Cambuim

Macieira

Neto

et al. 2016

Journal of Systems Architecture

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“…One advantage of specific devices is that they are not affected by the surroundings environment but tends to be quite intrusive. However, both approaches are widely used to extract gesture features [6] that can then be recognized. The data sets acquired with these systems are interpreted and analyzed using different algorithms in order to perform an adequate classification and comparison.…”

Section: Introductionmentioning

confidence: 99%

An arc-length warping algorithm for gesture recognition using quaternion representation

Cifuentes

Pham

Moreau

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This paper presents a new algorithm, called Dynamic Arc-Length Warping algorithm (DALW) for hand gesture recognition based on the orientation data. In this algorithm, after calculating the quaternion for each orientation measurement, we use DALW algorithm to obtain a similarity measure between different trajectories. We present the benefits of using quaternion alongside the implementation of Dynamic Arc Length Warping to present an optimized tool for gesture recognition.We show the advantages of this approach compared with other techniques. This tool can be used to distinguish similar and different gestures. An experimental validation is carried out to classify a series of simple human gestures.

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“…Since human skin is easy and invariant to the changing of scale, translation and rotation, it is commonly used for segmentation [7]. The process of skin color based hand gesture image segmentation generally includes: creating a probabilistic model of skin color to calculate the probability of each pixel, finding the interested coarse regions with comparing with the threshold value, more analysis and filtering being carried out for example involve the size or perimeter of the located regions in order to exclude noisy regions such as faces.…”

Section: Image Processingmentioning

confidence: 99%

Overview of Hand Gesture Recognition Basic Conceptual Framework

Xu¹,

Dai²

2017

dtetr

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Abstract. With the development of science and technology, human-computer interaction is not only an indispensable technology of research projects such as robot control and IOT, but also has gradually penetrated into the daily life of most people. Because of the inconvenience and dependence on the hard devices of traditional human-computer mode, the finding of more natural human-computer interactive ways is particularly urgent. Hand gesture is vivid, intuitive and contains a lot of interactive information, with same expression ability as natural languages such as spoken language and written language, it can act as a means of natural communication between human and machine. This paper offered an overview of hand gesture recognition including its definition and classification, the general framework of vision based hand gesture recognition was then analyzed in detail.

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A rotation invariant approach on static-gesture recognition using boundary histograms and neural networks

Cited by 45 publications

References 3 publications

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

An arc-length warping algorithm for gesture recognition using quaternion representation

Overview of Hand Gesture Recognition Basic Conceptual Framework

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